Enterprise Risk Management in U. S. Financial Institutions: Building Resilience in an Increasingly Complex Risk Environment

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@article{1720341,
      author = {Abdoulie K Darboe},
      title = {Enterprise Risk Management in U. S. Financial Institutions: Building Resilience in an Increasingly Complex Risk Environment},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {9},
      pages = {4098-4120},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1720341.pdf},
      abstract = {The U.S. financial sector currently faces a wide range of unprecedented risks, including credit, market, liquidity, cybersecurity, and algorithmic decision-making challenges, all worsened by an expanding regulatory environment. The 2008 crisis and ensuing reforms have elevated standards for risk management. Nonetheless, many institutions still struggle to develop comprehensive Enterprise Risk Management (ERM) systems that operate smoothly across departments, leverage technology effectively, and withstand multiple shocks (Lawati et al., 2025). This paper examines the current ERM landscape among U.S. financial institutions, highlights gaps in existing frameworks, and proposes an integrated model to boost resilience, compliance, and stakeholder value simultaneously rather than separately. This qualitative, applied approach systematically reviews academic literature, regulatory documents, and industry reports, primarily from peer-reviewed sources from 2015 to 2025. It also includes materials from federal banking agencies and industry bodies. A clear pattern emerges: institutions with more advanced ERM implementation tend to perform better financially and adapt more effectively to disruptions (Gao, Hsu, and Liu, 2025). Nonetheless, this maturity level varies widely; smaller banks often struggle to adopt the technology and analytics that larger institutions readily implement. Cybersecurity has become the fastest-evolving risk category, surpassing others. The swift adoption of artificial intelligence and machine learning boosts capabilities but also introduces new risks not seen a decade ago (Ma, 2025). Overall, the evidence points to key priorities: develop an integrated ERM framework with a focus on risk governance, utilize predictive analytics, enhance cybersecurity, invest in employee training, and view regulatory engagement as an ongoing relationship rather than a mere checklist. Success hinges on genuine board ownership and embedding a risk culture into daily operations, beyond policy documents.},
      keywords = {Enterprise Risk Management, Banking, Compliance, Operational Risk, Governance, Risk Appetite, Risk Culture, Technology Integration, Regulatory Compliance, Financial Stability},
      month = {March},
      doi = {https://doi.org/10.64388/IREV9I9-1720341}
  }